feat(database): store gameplay replays in compact form
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- Add compact storage package: codec, records, hydrate, replay blobs, cache.
- Running games write game_turns and snake_states keyed by integer ids.
- Encode moves as 1-byte codes and bodies as head plus step codes.
- Store food and hazards only when they changed since the previous turn.
- Strip reasoning fields that duplicate stored values and restore on read.
- Pack finished games into one zstd blob per game in game_replays.
- Merge late turns into packed blobs during the stale-game sweep.
- Extract SQLite and PostgreSQL schemas into dedicated modules.
- Add read/import game bundle and list_game_ids to the backend template.
- Add legacy readers and converter for the old turns/snake_turns layout.
- Add migrate_gameplay_to_compact.py with in-place or cross-DB migration.
- Verify every migrated game and keep legacy rows on failure.
- Support --since, --minimum-quality and guarded --drop-legacy.
- Add just recipe migrate-gameplay-postgres.
- Rewrite merge script to copy game by game via backend bundles.
- Move benchmark state loading into benchmark_states for both backends.
- Update PostgreSQL cleanup script to the new replay tables.
- Drop sqlite-zstd build stages from the Dockerfile.
- Remove old migration scripts, normalized_turn and their tests.
- Add tests for compact storage, schema, legacy migration and PostgreSQL.
- Document the compact layout and migration workflow in the README.
This commit is contained in:
2026-11-05 00:02:56 +01:00
parent 4403978537
commit 39a7a53873
41 changed files with 2779 additions and 2493 deletions
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"""Copy legacy-layout games into the compact layout, verifying each game."""
from dataclasses import dataclass, field
import inspect
import json
from server.database.compact.quality import rate_bundle
from server.database.compact.records import GameBundle
from server.database.game_quality import quality_meets_minimum
from .convert import LegacyDataError
@dataclass
class MigrationStats:
games:int = 0
replays:int = 0
turns:int = 0
states:int = 0
dropped_replays:int = 0
failed:int = 0
failures:list[str] = field(default_factory=list)
async def _resolve(value):
return await value if inspect.isawaitable(value) else value
def _signature(bundle:GameBundle) -> tuple:
turns = sorted(
(record.turn, record.move, json.dumps(record.thinking, sort_keys=True), json.dumps(record.food), json.dumps(record.hazards))
for record in bundle.turns
)
states = sorted(
(state.snake_id, state.turn, state.health, state.latency, json.dumps(state.body))
for state in bundle.states
)
return turns, states
def apply_quality(bundle:GameBundle, minimum_quality:str) -> bool:
"""Rate the replay; drop its turns below the minimum. Returns whether it is kept."""
quality = rate_bundle(bundle)
keep = quality_meets_minimum(quality.tier, minimum_quality)
bundle.game.update({
"has_replay": keep,
"quality_status": "retained" if keep else "low_quality",
"quality_score": quality.score,
"quality_tier": quality.tier,
"quality_reasons": list(quality.reasons),
})
if not keep:
bundle.turns = []
bundle.states = []
return keep
async def migrate_legacy(
reader,
backend,
since:str|None=None,
minimum_quality:str|None=None,
verify:bool=True,
progress=None,
) -> MigrationStats:
stats = MigrationStats()
game_ids = await _resolve(reader.game_ids(since))
for index, game_id in enumerate(game_ids, start=1):
try:
bundle = await _resolve(reader.read_bundle(game_id))
if bundle is None:
continue
if minimum_quality and not apply_quality(bundle, minimum_quality):
stats.dropped_replays += 1
await backend.import_game_bundle(bundle)
if verify and bundle.turns and bundle.game["has_replay"]:
stored = await backend.read_game_bundle(game_id)
if stored is None or _signature(stored) != _signature(bundle):
raise LegacyDataError("stored replay differs from source")
stats.games += 1
stats.replays += int(bool(bundle.turns))
stats.turns += len(bundle.turns)
stats.states += len(bundle.states)
except LegacyDataError as error:
stats.failed += 1
stats.failures.append(f"{game_id}: {error}")
if progress is not None and (index % 500 == 0 or index == len(game_ids)):
progress(index, len(game_ids), stats)
return stats